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UFS/SSD Validation Engineer

Pubblicato il 08-10-2026 - MICRON in Arzano

Overview
In this role, you will shape validation strategies for Automotive SSDs, ensuring robust verification of firmware, hardware, and system requirements. You will partner with firmware, hardware, and product teams to mitigate risks and improve validation effectiveness, leveraging AI-enabled tools to accelerate testing. Your work supports delivering high-quality storage solutions for ADAS, digital cockpits, and other automotive applications. This position offers a chance to influence reliability and performance across the product lifecycle.

Retribuzione / Benefits
- meal vouchers
- corporate welfare
- yearly remote work days allowance
- supplementary health insurance
- life coverage
- Employee Assistance Program

Responsabilità
- Develop and maintain validation methodologies, test suites, and automation frameworks for automotive SSD validation (functionality, performance, reliability, compliance)
- Create known-box, grey-box, and system-level validation tests across the development lifecycle
- Collaborate with firmware, hardware, architecture,



and product engineering to translate requirements into validation coverage
- Analyze test results, perform root cause analysis, and drive issue resolution with cross-functional teams
- Develop automation tools and test infrastructure using Python and other languages to boost efficiency
- Validate SSD behavior under automotive use cases, including stress, power management, endurance, and reliability
- Identify validation gaps and recommend process improvements to enhance test methodologies
- Apply AI-assisted engineering tools to speed up test development, analysis, and debugging
- Support product qualification and release readiness per automotive quality expectations

Requisiti fondamentali
- Bachelor or Master in Computer Engineering, Electronic Engineering, Computer Science, or equivalent
- Programming experience in Python and/or C
- Understanding of software, firmware, or hardware validation methodologies
- Strong analy

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